Executive Summary
Healthcare systems are under pressure to balance cost-efficiency with quality care. Rising treatment costs and long hospital stays impact operations. This project uses Power BI to analyze key metrics like recovery rates, treatment costs, length of stay, and patient demographics. The dashboard identifies trends and areas for improvement, providing insights to optimize treatment, reduce unnecessary stays, and improve outcomes. This approach enhances care quality while delivering significant cost savings.
Background
In healthcare, managing treatment costs and optimizing hospital stays are vital for improving patient outcomes and reducing expenses. Prolonged hospital stays and inefficient treatment plans contribute to rising healthcare costs and impact resource allocation. Identifying trends and inefficiencies is essential for enhancing patient care, reducing costs, and improving overall healthcare delivery.
Objectives
The primary objective of this dashboard is to optimize healthcare delivery by improving treatment efficiency, reducing costs, and enhancing patient outcomes. The dashboard helps to:
Identify high-risk patients and allocate resources effectively.
Improve recovery rates while reducing unnecessary hospital stays.
Optimize treatment plans for cost efficiency.
Make data-driven decisions for better resource allocation.
Problem Statement
Treatment costs and hospital stays continue to be major challenges in the healthcare system, with inefficiencies leading to higher expenses and reduced patient outcomes. In 2022 and 2023, prolonged hospital stays and high treatment costs significantly strained hospital resources. Despite efforts to streamline operations, variations in patient care and recovery rates still contribute to increased expenses. The challenge is to identify actionable insights from patient data that can reduce hospital stay durations and improve treatment efficiency. By tackling this issue, we can enable healthcare providers to optimize patient care, reduce costs, and enhance overall healthcare delivery.
